Bootstrap Stat Estimator
Calculates robust confidence intervals for multiple statistical measures using non-parametric bootstrap resampling and generates distribution plots.
A tool for robust statistical analysis of numeric fields in vector layers. It estimates statistics (Mean, Median, SD, Variance, Percentiles, Skewness, IQR) and their confidence intervals using non-parametric bootstrap resampling. Includes automatic NULL filtering and interactive Matplotlib distribution plots.
HOW TO USE:
1) Select a vector layer and open the plugin.
2) In the Settings tab, choose the numeric field, statistic, number of samples, and confidence level.
3) Click 'Calculate'.
4) Switch to the Results tab to view the calculated statistic, its Confidence Interval, and the distribution plot.
5) You can also open the plot in a new interactive window to zoom, pan, or save it as an image.